Esse trabalho faz um estudo sobre a hipótese de descolamento das relações de curto e longo prazo entre os PIBs das economias brasileira e norte-americana. Para isso, é realizado, inicialmente, uma análise da literatura existente sobre a possível mudança nas relações entre as economias emergentes e avançadas. Em seguida, foram apresentadas explicações teóricas para as ligações entre os PIBs de Brasil e dos Estados Unidos da América. As metodologias usadas na investigação foram a análise de cointegração e a decomposição dos produtos internos brutos dos países em questão. Os principais resultados, obtidos usando dados anuais entre 1980 e 2008, apontam para uma mudança importante nas relações de longo prazo entre as economias a partir da década de 1980 e uma intensificação das relações de curto prazo a partir da década de 1990. No entanto, ao longo dos anos e, principalmente a partir da metade da década de 2000, foram encontradas evidências em favor de um maior descolamento de curto prazo dos PIBs de Brasil e EUA. / The following dissertation tests the hypothesis of decoupling between the Brazilian and North American economies. For this purpose, the related literature is initially investigated. Afterwards, theoretical explanations on the links between the GDPs of Brazil and USA are shown. The methodologies employed were cointegration analysis and trend/cycle decomposition of the GDPs of the mentioned countries. The main findings using annual data between 1980 and 2008 point out to an important change in the long term relationship between the economies starting in the 1980s and an increase in the short-run links during the 1990s. However, there is evidence suggesting a decoupling of the short term fluctuations between Brazils and USAs GDPs starting in the second half of the 2000s.

Na trajetória da economia mundial, destaca-se a importância do agronegócio, que exerce um papel essencial no desenvolvimento econômico e social dos países, devido principalmente à sua capacidade de geração de renda e empregos. Entretanto, o agronegócio possui um obstáculo para a sua sustentabilidade, que é sua natureza cíclica, sofrendo influências de vários fatores de mercado e apresentando elevada volatilidade nos preços das commodities. Nesse sentido, vê-se a necessidade de explorar o aspecto cíclico dos preços das commodities, com o intuito de captar a dinâmica dos fatores de mercado que influenciam a formação do preço, para o seu monitoramento antecipado. Dentro desse contexto, o objetivo do presente estudo foi propor o desenvolvimento de uma ferramenta para prever o comportamento dos ciclos de crescimento e retração de uma commodity, especificamente o açúcar, com base no modelo de indicador antecedente. Para isso, foi construído, primeiramente, o ciclo de preços agrícolas, com base nos ciclos de negócios e na exposição das estruturas que representam os principais fatores de alteração nos preços das commodities: econômica, fundamentalista, climática e relacionada. O próximo passo foi datar os pontos de mudança do preço do açúcar, utilizando um modelo de cadeia de Markov e confrontando seus resultados com os acontecimentos históricos do setor. Posteriormente, um modelo de fator dinâmico foi utilizado para extrair movimentos cíclicos comuns a um conjunto de variáveis que apresentam poder de previsão, fora de amostra, com relação ao preço do açúcar. Como resultado, foram encontrados três indicadores antecedentes, que sinalizaram consistentemente a maioria dos picos e vales do ciclo do preço do açúcar, num horizonte de dois anos de antecedência. Cada indicador selecionado é composto por uma combinação linear entre os coeficientes e quatro variáveis independentes, as quais representam, respectivamente, as estruturas setoriais analisadas: fundamentalista, econômica, climática e relacionada. Em seguida, os indicadores foram combinados com o preço em um vetor bivariado auto-regressivo para obter previsões lineares do preço da commodity açúcar. As previsões obtidas revelam que os indicadores apresentaram um desempenho de previsão bem superior ao do modelo base, em todos os horizontes, e muito próximo aos valores reais dos preços. Portanto, da análise de previsão de pontos de mudança e de previsão linear, conclui-se que os indicadores antecedentes da commodity açúcar (IAC) constituem-se em um instrumento informativo para sinalizar o comportamento futuro do preço do açúcar, mesmo quando apenas dados preliminares e não revisados estão disponíveis. A ferramenta proposta, além de servir como um instrumento para compreender a natureza das flutuações dos preços das commodities, pretende tornar-se fonte de subsídios para o projeto de diretrizes, ações e formulação de estratégias de desenvolvimento, tanto no âmbito das políticas públicas, quanto daquelas iniciativas que deveriam ser adotadas pelo setor privado, servindo como um instrumento essencial para o planejamento das instituições integrantes do agronegócio. / In the course of the world economy, underscoring the importance of agribusiness, which plays a key role in economic and social development of countries, mainly due to its ability to generate income and jobs. However, agribusiness has an obstacle to its sustainability, which is its cyclical nature, is influenced by various market factors and a very high volatility in commodity prices. In this sense, we see the need to explore the cyclical aspect of commodity prices, in order to capture the dynamics of market factors that influence the pricing for its monitoring anticipated. Within this context, the objective of this study was to propose the development of a tool to predict the behavior of cycles of growth and shrinkage of a commodity, specifically sugar, based on the type of leading indicator. For that was built first, the cycle of agricultural prices, based on business cycles and exposure of the structures that represent the main factors of change in commodity prices: economic fundamentalism, climate and related. The next step was dating the turning points of the price of sugar, using a model of Markov chain, comparing their results with historical events in the industry. Subsequently, a dynamic factor model was used to extract common cyclical movements in a set of variables that have predictive power, out of the sample to the price of sugar. As a result, there were three leading indicators, which signaled consistently most of the peaks and valleys of the cycle of the price of sugar, a horizon of two years in advance. Each indicator selected is composed of a linear combination of the coefficients and four independent variables, which represent, respectively, industry structures analyzed: fundamentalist, economic, climate and related. Then, the indicators were combined with the price in a bivariate vector autoregressive forecasts for linear price of crude sugar. The predictions show that the indicators showed a predictive performance far superior to the base model at all horizons, and very close to the actual values of prices. Therefore, the analysis of forecasting turning points and linear prediction, it is concluded that the leading indicators of crude sugar (IAC) is based on an informative tool for signaling future behavior of the price of sugar, even when only preliminary data not reviewed are available. The proposed tool, besides serving as a tool to understand the nature of fluctuations in commodity prices, hopes to become a source of input for the draft guidelines, actions and formulation of development strategies, both in the public policies and those initiatives that should be adopted by the private sector, serving as an essential tool for planning of institutions of agribusiness.

The ultimate aim of this study is to identify and eliminate inefficiencies associated with the current claims management processes, thereby ensuring cost reduction, high damages recoveries while ensuring that the company is positioned to be able to apply its resources in the best way possible to respond to satisfying the needs of the customer.

This paper considers the problematic of business cycles. The author aggregates historical findings and development of opinions of business cycles. Author also evaluates methods of business cycle measurements with the use of economic indicators, including their analysis and understanding of their logic. Goal of the paper is to find a way to analyze economic cycles for use in asset allocation for portfolio management purposes.

Law and Macro-Finance is a theoretical framework explaining the relationship between law and the macro-financial variables of liquidity and leverage. The framework's central theoretical claim is that strong creditor rights exacerbate the procyclicality of liquidity and leverage. Strong creditor rights have that effect because they create different incentives in different parts of the economic cycle. Strong creditor rights encourage creditors to lend in a credit boom, thereby increasing leverage and making the economy vulnerable to shocks through various leveraged-related channels. However, in a credit bust, the enforcement of strong creditors' rights can trigger an economic downturn or make it more difficult for the economy to recover from the shocks. The normative part of the Law and Macro-Finance framework revolves around regulating liquidity primarily through a countercyclical design of the strength of creditors' rights in bankruptcy and collateral law to ensure adequate levels of leverage in different parts of the economic cycle. The key elements of bankruptcy and collateral law that could be used for that purpose are the rules establishing the strength of money market investors' rights, including bankruptcy safe harbors, true sales doctrine, and rules around collateral rehypothecation.

En los últimos años han existido fluctuaciones cotidianas dentro del sistema financiero latinoamericano, con excepción de la crisis del 2008, que demuestra como la economía se comporta luego de una situación particular como es una recesión mundial a gran escala. Cabe resaltar que pueden ocurrir eventos no comunes que pueden desembocar en una crisis económica. A partir de esto nace la curiosidad de investigar una variable que permita ser medida como un soporte para el sector financiero para mitigar una futura recesión económica en los países. Este documento investiga de qué forma el riesgo crediticio a través de las provisiones bancarias afecta el ciclo económico y los créditos bancarios. La evidencia empírica señala que el indicador de calidad de cartera total del sistema bancario impacta a las variables como créditos, PBI y tasa de interés principalmente. Se estima un modelo de panel de Vectores Autorregresivos para una muestra equilibrada de 4 países de Latinoamérica (Chile, Colombia, México y Perú) para el periodo 2005-2019. Se utilizan las variables tasa de interés, créditos bancarios, la inflación, brecha producto, así como las provisiones como parte de la calidad de cartera del sistema bancario. Se encuentra que la calidad de cartera en los cuatro países de Latinoamérica impacta negativamente los ciclos económicos y los préstamos bancarios con el soporte de un análisis estadístico y revisión de conceptos económicos, el cual aplicado un marco macroeconómico que incluye al sector bancario y la variable de calidad de cartera considerando el nivel de provisiones como un factor para medir el riesgo crediticio. / In recent years there have been daily fluctuations inside the Latin American financial system, with the exception of the 2008 crisis, which shows how the economy behaves after a particular situation such as a large-scale global recession. It should be noted that unusual events can occur that can lead to an economic crisis. About this situations, the initiative arises to investigate a variable that allows measuring it as a support for the financial sector to mitigate a future economic recession in the countries. This document investigates how credit risk through bank provisions affects the economic cycle and bank loans. The empirical evidence indicates that the indicator of quality of the total portfolio of the banking system impacts variables such as loans, GDP and interest rate mainly. A panel model of Autoregressive Vectors is estimated for a balanced sample of 4 Latin American countries (Chile, Colombia, Mexico and Peru) for the period 2005-2019. The variables interest rate, bank loans, inflation, output gap, as well as provisions are used as part of the portfolio quality of the banking system. It shows that portfolio quality in the four Latin American countries negatively impacts business cycles and bank loans with the support of a statistical analysis and review of economic concepts, which applied a macroeconomic framework that includes the banking sector and the variable of portfolio quality considering the level of provisions as a factor to measure credit risk. / Trabajo de investigación

This thesis investigates the role of intangible capital and intangible investment (the intangibles) in explaining modern economic activity. It presents an in depth analysis of the context in which the intangibles are studied in the economic literature, and modifies existing theoretical real business cycle (RBC) models to account for the presence of the intangibles. The newly developed models are further used to address previously documented issues such as the Canadian productivity puzzle and the quantity anomaly. Chapter 1 provides a detailed explanation of the concept of the intangibles in the economic literature. It also highlights the importance of accounting for the intangibles during economic analysis and presents a detailed analysis of how they are measured and modeled in practice. The main findings indicate that the intangibles have contributed positively to economic growth and productivity. The need for improvements in the measurement and modeling of the intangibles is also identified. Specifically, there is a need to improve the estimates of the depreciation rates and price deflators that are used in the measurement of intangible assets; and a need for proper model specification testing to validate the inclusion of the intangibles when modeling economic activity. Chapter 2 explores the role of the intangibles in explaining business cycles in a small open economy. The benchmark two-sector model developed in this chapter is tailored to the Canadian economy and allows for the examination of the relationship between intangible investment and the trade balance, which has not been attempted to date in the RBC literature. Overall, this chapter finds that technological change in the production of intangible investment plays an important role in explaining labour productivity and business cycles in a small open economy. Simulations based on the benchmark two-sector model highlight the circumstances under which the trade balance to business sector output ratio tends to be procyclical. The extended model is further used to make predictions about the Canadian productivity puzzle, where the main findings reinforce the need to re-evaluate the traditional measure of productivity in business cycle models. Chapter 3 is motivated by the rising levels of intangible investment in the U.S. and Europe. These investments have been expensed in the national accounts rather than capitalized (unmeasured investment) and this practice has resulted in the traditional measures of investment, productivity and output underestimating their true levels. In order to investigate the economic impact of this practice in an international setting, the standard two-country business cycle model is extended to include such intangibles. The main results imply that the traditional measures of output and labour productivity differences across countries are understated when intangible investment is not properly accounted for. The modeling of intangible investment also improves the fit of the model based upon recent data on international business cycles. This is most evident in the international correlation of investment, which the standard model predicts to be low (0.13) and the extended model correctly predicts to be high (0.66) as seen in the data (0.74). / Dissertation / Doctor of Philosophy (PhD)

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This study examines intertemporal variation in the associations of accounting data with subsequent firm returns. A number of accounting research studies pool data indiscriminately across time and firms. Previous research has disclosed the nature and effects of cross-sectional dependencies in pooled data. On the other hand, intertemporal dependencies associated with real macroeconomic phenomena have not been widely researched. The objective of this study was to provide evidence as to whether accounting data's associations with subsequent firm returns systematically vary across recession-associated and expansion-associated valuation change periods. Eighty-two accounting ratios were examined for evidence of systematic variation in association across business cycle-associated valuation events. Analyses are conducted, using both simple and multiple regression. Business cycle effects on the predictive accuracy of regression models were also examined. / Ph. D.